readme-generator
Generates comprehensive README.md files for software projects by analyzing codebase structure
What this skill does
# README Generator Automatically generates professional, comprehensive README.md files by analyzing your project structure, dependencies, and code patterns. ## What This Skill Does This skill helps you create high-quality README files by: - Analyzing project structure and identifying key components - Detecting programming languages and frameworks - Finding configuration files (package.json, requirements.txt, etc.) - Identifying test frameworks and CI/CD setup - Generating appropriate sections with relevant content - Following README best practices ## Instructions When generating a README, follow these steps: ### 1. Project Discovery First, analyze the project structure: - Use Glob to find key files: `package.json`, `pyproject.toml`, `Cargo.toml`, `go.mod`, etc. - Use Glob to identify main source directories - Use Read to examine configuration files - Use Grep to find test files and CI configuration ### 2. Content Analysis Based on findings, determine: - Project type (library, application, CLI tool, etc.) - Primary programming language(s) - Dependencies and frameworks - Build and test commands - License type (from LICENSE file) ### 3. README Generation Create a README.md with these sections (adapt based on project type): **Required Sections:** - **Title and Description**: Project name and one-line summary - **Features**: Key functionality (if applicable) - **Installation**: How to install/set up - **Usage**: Basic usage examples - **License**: License information **Optional Sections** (include if relevant): - **Prerequisites**: Required software/tools - **Development**: How to set up for development - **Testing**: How to run tests - **Contributing**: Contribution guidelines - **API Documentation**: For libraries - **Screenshots**: For applications with UI - **Roadmap**: Future plans - **Acknowledgments**: Credits and thanks ### 4. Writing Style Use this style for generated READMEs: - Clear, concise language - Active voice - Code blocks with proper syntax highlighting - Badge shields for status indicators (if CI/CD detected) - Emoji sparingly (only if user requests) - Professional but approachable tone ### 5. Output Present the generated README to the user and offer to: - Write it to README.md - Make adjustments based on feedback - Add additional sections ## Examples ### Example 1: Python Project **User Request:** "Generate a README for this Python project" **Workflow:** 1. Glob for Python files: `**/*.py` 2. Read `pyproject.toml` or `setup.py` 3. Check for `requirements.txt`, `Pipfile` 4. Look for test files in `tests/` or `*_test.py` 5. Generate README with: - Installation via pip - Python version requirements - Virtual environment setup - Testing with pytest/unittest ### Example 2: Node.js Project **User Request:** "Create a README for my npm package" **Workflow:** 1. Read `package.json` for name, description, scripts 2. Identify framework (React, Vue, Express, etc.) 3. Check for TypeScript (`tsconfig.json`) 4. Look for test configuration (Jest, Mocha) 5. Generate README with: - npm/yarn installation - Available scripts - API documentation (for packages) - Usage examples ## Configuration This skill adapts to project type: | Project Type | Key Files | Focus Areas | |--------------|-----------|-------------| | Python | `pyproject.toml`, `setup.py` | pip install, virtual env | | Node.js | `package.json` | npm install, scripts | | Rust | `Cargo.toml` | cargo build, features | | Go | `go.mod` | go get, modules | | Generic | None | Basic structure | ## Tool Requirements - **Read**: Examine configuration and source files - **Glob**: Find relevant files across project - **Grep**: Search for patterns (tests, CI, etc.) - **Write**: Create the README.md file ## Limitations - Cannot include screenshots (user must add manually) - May miss custom build processes not in standard files - Generates starting point - user should review and customize - Works best with standard project structures - Does not analyze actual code logic for features ## Best Practices When using this skill: 1. **Run from project root**: Ensure you're in the main project directory 2. **Review before writing**: Check generated content before writing to file 3. **Customize**: Treat output as a template, add project-specific details 4. **Update regularly**: Regenerate when project structure changes significantly 5. **Backup existing**: If README.md exists, back it up first ## Error Handling - **No project files found**: Ask user to confirm working directory - **Multiple languages detected**: Generate sections for each, note polyglot nature - **Existing README**: Prompt user before overwriting, offer to merge - **Missing key info**: Generate placeholder sections with TODO markers ## Related Skills - [changelog-generator](../../automation/changelog-generator/SKILL.md) - Create CHANGELOG.md - [api-doc-generator](../api-doc-generator/SKILL.md) - Generate API documentation - [license-picker](../../automation/license-picker/SKILL.md) - Add license files ## Changelog ### Version 1.0.0 (2025-01-13) - Initial release - Support for Python, Node.js, Rust, Go projects - Automatic dependency detection - Standard section generation ## Contributing Found a bug or want to add support for a new project type? Please: 1. Open an issue with details 2. Submit a PR with improvements 3. Follow [Contributing Guidelines](../../../docs/CONTRIBUTING.md) ## License Apache License 2.0 - See [LICENSE](../../../LICENSE) ## Author **GLINCKER Team** - GitHub: [@GLINCKER](https://github.com/GLINCKER) - Repository: [claude-code-marketplace](https://github.com/GLINCKER/claude-code-marketplace)
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